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transparent computing: Development and Current Status

Chinese Journal of Electronics 2020年第5期29卷 793-811页

作者： ZHANG Yaoxue DUAN Sijing ZHANG Deyu REN Ju Department of Computer Science and Technology Tsinghua University School of Computer Science and Engineering Central South University

Current terminal devices, such as Personal computers(PCs), diskless workstation, mobile terminals and embedded Internet of things(IoT) devices, are facing several challenges, including limited computing capabilities and storage resources, complex maintenance and management of the software and data, as well as secure service provisioning. Facing these challenges, Cloud computing(CC) and Edge computing(EC) encourage the terminal devices to shift compute-intensive works to the cloud servers or edge nodes. Different from CC and EC, transparent computing(TC) is a novel user-centric computing paradigm in which the hardware and software are separated in different places. Specificaly, all the software, including Operating systems(OSes), applications programs and management tools, are deposited on the servers and transmitted on demand to terminal devices in a transparent way, while the computation is performed on terminals. In this article, we give a broad survey on transparent computing about the development and current status and compare the differences with CC and EC. To realize the provisioning of the cross-platform service, TC shields hardware differences of heterogeneous devices and builds standardized hardware and software interfaces. From the perspective of security, TC entails high-level security mechanisms and the Meta OS can detect malware and OS-level attacks. Specifically, we first review the development courses of network computing paradigms and the motivation of TC. Then, we present a comparison of several emerging computing paradigms and TC from three perspectives, i.e., virtualization, location for computing, and location for storage. We also show the basic architecture of TC, development process, current status, and key enabling technologies of TC for PCs and lightweight terminals. Lastly, several new challenges and future research directions are indicated to inspire continuous investigations. We believe that this survey can help readers to obtain complete

关键词： transparent computing Network computing Survey

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transparent computing: Spatio-Temporal Extension on von Neumann Architecture for Cloud Services

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Tsinghua Science and Technology 2013年第1期18卷 10-21页

作者： Yaoxue Zhang Yuezhi Zhou the Department of Computer Science and Technology Tsinghua University the the School of Information Science and Engineering Central South University

The rapid advancements in hardware, software, and computer networks have facilitated the shift of the computing paradigm from mainframe to cloud computing, in which users can get their desired services anytime, anywhere, and by any means. However, cloud computing also presents many challenges, one of which is the difficulty in allowing users to freely obtain desired services, such as heterogeneous OSes and applications, via different light-weight devices. We have proposed a new paradigm by spatio-temporally extending the von Neumann architecture, called transparent computing, to centrally store and manage the commodity programs including OS codes, while streaming them to be run in non-state clients. This leads to a service-centric computing environment, in which users can select the desired services on demand, without concern for these services＇ administration, such as their installation, maintenance, management, and upgrade. In this paper, we introduce a novel concept, namely Meta OS, to support such program streaming through a distributed 4VP~ platform. Based on this platform, a pilot system has been implemented, which supports Windows and Linux environments. We verify the effectiveness of the platform through both real deployments and testbed experiments. The evaluation results suggest that the 4VP~ platform is a feasible and promising solution for the future computing infrastructure for cloud services.

关键词： transparent computing extended von Neumann architecture cloud computing cloud services Meta OS

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transparent Access to Heterogeneous IoT Based on Virtual Resources

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Computers, Materials & Continua 2023年第3期74卷 4983-4999页

作者： Wenquan Jin Sunhwan Lim Young-Ho Suh Chanwon Park Dohyeun Kim Big Data Research Center Jeju National UniversityJeju63243Korea Autonomous IoT Research Section Intelligent Convergence Research LaboratoryElectronics and Telecommunications Research InstituteDaejeon34129Korea Department of Computer Engineering Jeju National UniversityJeju63243Korea

The Internet of Things(IoT)inspires industries to deploy a massive number of connected devices to provide smart and ubiquitous services to influence our daily *** computing leverages sufficient computation and storage at the edge of the network to enable deploying complex functions closer to the environment using Internet-connected *** to the purpose of the environment including privacy level,domain functionality,network scale and service quality,various environment-specific services can be provided through heterogeneous applications with sensors and actuators based on edge ***,for providing user-friendly service scenarios based on the transparent access to heterogeneous devices in edge computing,a consistent interface shall be provided to deliver services from edge computing to *** this paper,we propose transparent computing based on virtual resources to access heterogeneous IoT devices without considering the underlying network configuration at the edge of the *** supporting transparent access to different edge computing environments through a consistent interface,the virtual resource of edge gateway is proposed to bridge the Internet and devices which are deployed on the edge of the *** proposed edge gateway exposes the services of the Internet of Things devices to the Internet using virtual resources that represent the resources of physical *** virtual resources provide a consistent interface to enable clients to access devices in edge computing without considering underlying *** virtual resource is generated by the resource directory in the edge gateway through the registration of a *** on the device registration,the device information is stored in the gateway to link virtual resources and devices for translating messages according to the destination protocols and identifying physical devices that are represented by virtual ***,through collaboration with the serv

关键词： Internet of things edge computing edge gateway transparent computing virtualization resource directory virtual resource

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A Survey on Emerging computing Paradigms for Big Data

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Chinese Journal of Electronics 2017年第1期26卷 1-12页

作者： ZHANG Yaoxue REN Ju LIU Jiagang XU Chugui GUO Hui LIU Yaping School of Information Science and Engineering Central South University Research Institute of Information Security and Big Data Central South University

The explosive growth of data volume and the ever-increasing demands of data value extraction have driven us into the era of big data. The "5V"(Variety,Velocity, Volume, Value, and Veracity) characteristics of big data pose great challenges to traditional computing paradigms and motivate the emergence of new *** computing is one of the representative technologies that can perform massive-scale and complex data computing by taking advantages of virtualized resources, parallel processing and data service integration with scalable data storage. However, as we are also experiencing the revolution of Internet-of-things(IoT), the limitations of cloud computing on supporting lightweight end devices significantly impede the flourish of cloud computing at the intersection of big data and IoT era. It also promotes the urgency of proposing new computing paradigms. We provide an overview on the topic of big data, and a comprehensive survey on how cloud computing as well as its related technologies can address the challenges arisen by big ***, we analyze the disadvantages of cloud computing when big data encounters IoT, and introduce two promising computing paradigms, including fog computing and transparent computing, to support the big data services of IoT. Finally, some open challenges and future directions are summarized to foster continued research efforts into this evolving field of study.

关键词： computing paradigm Big data Cloud computing transparent computing Fog computing Internet-of-things(IoT)

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